A new complex network model and convergence dynamics for reputation computation in virtual organizations

被引：29

作者：

Cao, Jinde ^{[1
]}

Yu, Wenwu

Qu, Yuzhong

机构：

[1] SE Univ, Dept Math, Nanjing 210096, Peoples R China

[2] SE Univ, Dept Comp Sci & Engn, Nanjing 210096, Peoples R China

来源：

PHYSICS LETTERS A | 2006年 / 356卷 / 06期

基金：

中国国家自然科学基金;

关键词：

complex network; reputation computation; virtual organization; Lyapunov method; trust; reputation degree; LMI; convergence dynamics; stability; semantic web; semantic grid;

D O I：

10.1016/j.physleta.2006.04.005

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

In this Letter, a new complex network model is established for reputation computation in virtual organizations, and its dynamics is investigated. Several sufficient conditions have been derived to ensure the global asymptotical stability of the new complex network model by using Lyapunov method and linear matrix inequality (LMI) technique, where the stability means that the reputation degrees of entities can tend to some fixed constants as time evolves. Also, for this new model, some other dynamical phenomena such as bifurcation and chaos synchronization are proposed for our consideration in the future. This may open a new research branch in the area. (c) 2006 Elsevier B.V. All rights reserved.

引用

页码：414 / 425

页数：12

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